AIMay 29, 2014
Knowledge Base of an Expert System Used for Dyslalic Children Therapy
arXiv:1406.4882v13 citations
Originality Synthesis-oriented
AI Analysis
This work addresses speech therapy for dyslalic children, but it is incremental as it applies existing fuzzy logic methods to formalize a guide.
The authors tackled the problem of improving speech therapy for dyslalic children by developing a Fuzzy Expert System based on a speech therapy guide, resulting in a knowledge base with over 150 rules and 19 linguistic variables.
In order to improve children speech therapy, we develop a Fuzzy Expert System based on a speech therapy guide. This guide, write in natural language, was formalized using fuzzy logic paradigm. In this manner we obtain a knowledge base with over 150 rules and 19 linguistic variables. All these researches, including expert system validation, are part of TERAPERS project.